Image Matters: AI that spots harmful logos and content in product photos
Shopping sites host millions of product photos. Some slip through with offensive, non-compliant logos or messages, hurting customers and brands. This paper introduces an AI system that flags those images at massive scale.
What’s new: a practical blend of image classification + object detection, tuned for messy, real-world retail catalogs.
- Works despite scarce labels and severe class imbalance
- Handles fine-grained categories (e.g., specific logos, explicit or violent imagery)
- Uses budget-savvy crowdsourcing to improve training data
- Built to keep up with constantly changing product listings
Why it matters: Better customer experience, fewer legal risks, and stronger brand trust.
Read the research: http://arxiv.org/abs/1905.02234v2
Authors: Shreyansh Gandhi et al.
Paper: http://arxiv.org/abs/1905.02234v2
Register: https://www.AiFeta.com
AI computervision ecommerce brandsafety contentmoderation deeplearning retailtech trustandsafety